---
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: bert-base-uncased-issues-128
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# bert-base-uncased-issues-128

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1598

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 16

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.2394        | 1.0   | 291  | 0.2312          |
| 0.1858        | 2.0   | 582  | 0.1863          |
| 0.1687        | 3.0   | 873  | 0.1948          |
| 0.1602        | 4.0   | 1164 | 0.1948          |
| 0.1537        | 5.0   | 1455 | 0.1678          |
| 0.1467        | 6.0   | 1746 | 0.1805          |
| 0.1406        | 7.0   | 2037 | 0.1641          |
| 0.1382        | 8.0   | 2328 | 0.1770          |
| 0.1354        | 9.0   | 2619 | 0.1724          |
| 0.1312        | 10.0  | 2910 | 0.1679          |
| 0.1284        | 11.0  | 3201 | 0.1709          |
| 0.1262        | 12.0  | 3492 | 0.1549          |
| 0.1252        | 13.0  | 3783 | 0.1559          |
| 0.1239        | 14.0  | 4074 | 0.1441          |
| 0.1217        | 15.0  | 4365 | 0.1673          |
| 0.1225        | 16.0  | 4656 | 0.1598          |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1
- Datasets 2.13.1
- Tokenizers 0.13.3